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Machine Learning Engineer, Multimodal Perception and Authentication

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · San Francisco

Employer listed it 2 months ago · Added 2 weeks ago

Been open since 2 months ago. Long-running listings are sometimes left up after the role is filled.

Salary

$342k to $399k per year

Location

Hybrid · San Francisco

Timezone

Not stated

Contract

Full-time

Experience

Mid

Category

Data

Published by the employer

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
Not mentioned in the advert
Where you can work from
This role is based in San Francisco.
Contract
Not mentioned in the advert
Experience asked for
Not mentioned in the advert
Pay
Not mentioned in the advert

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around San Francisco, Hybrid, so you need to live within commuting distance.

What the employer says

  • Source listing states candidate location: "San Francisco, Hybrid"
  • Listing mentions "Hybrid" and three days per week in the office

What Nomaders makes of it

  • Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a requirement

  • “AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.”

Questions worth asking: Nomaders interpretation

  • This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

About the Team

The Future of Computing Research team is an applied research team within OpenAI’s Consumer Devices group. We study how AI systems perceive people and their surroundings, and we turn that research into capabilities for future products.

Our work spans machine learning, sensing, and hardware, with a focus on building systems that work beyond controlled environments.

About the Role

We’re looking for a machine learning engineer to help shape how future AI systems understand the physical world and the people in it. The role focuses on multimodal perception and authentication, bringing together signals from cameras, microphones, and other sensors.

You’ll work with specialized perception models and larger multimodal models, and partner with hardware, firmware, software, and product teams to bring new research into real-world systems.

This role is based in San Francisco. We work in the office three days per week and offer relocation assistance.

In this role, you will:

Research and develop multimodal perception and authentication methods across visual, audio, and other sensing signals.

Explore how specialized perception models and larger multimodal models can work together.

Design data, training, and evaluation approaches that improve performance in real-world conditions.

Study model behavior, robustness, and failure modes across sensing, data, and deployment environments.

Integrate and validate new capabilities in real-time or resource-constrained systems.

Work with hardware, firmware, software, and product teams to turn research into working systems.

You might thrive in this role if you:

Have a strong background in computer vision, audio or speech machine learning, multimodal learning, or sensing.

Have experience developing specialized machine learning models, larger multimodal models, or both.

Have brought research ideas into practical systems, prototypes, or products.

Know how to design experiments, build evaluations, and investigate model behavior.

Have worked with sensing hardware, real-time systems, or other deployment constraints.

Are proficient in Python and PyTorch and comfortable with C++ or systems integration.

Have experience with authentication, biometrics, or other privacy-sensitive applications.

Enjoy working across disciplines on research problems that are still taking shape.

About OpenAI

Requirements

The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, hybrid, matches where you plan to live and work.
  2. 2Tailor your CV to the role at OpenAI, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 17d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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$342k to $399k per year · You'll be taken to the employer's careers page.